Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/vibeic/vibe-icnpx agentmods add skills/vibeic/vibe-ic/spec-to-rtlWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vibeic/vibe-ic/spec-to-rtl)<a href="https://agentmods.dev/skills/vibeic/vibe-ic/spec-to-rtl"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/spec-to-rtl/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/spec-to-rtl"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/spec-to-rtl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00317 | $0.11138 |
| Opus 5 | $0.00159 | $0.05569 |
| Sonnet 5 | $0.00063 | $0.02228 |
| Haiku 4.5 | $0.00032 | $0.01114 |
Grade A, and why
spec-to-rtl scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 756 lines — stays where its author put it; the contents beside it link to each section on GitHub.
spec-to-rtl — the runner-orchestrated AI authoring step
What this skill IS
The deterministic authoring path for IC classes WITHOUT a registered rtl_gen
generator. Spec → RTL fundamentally requires a language model (open-benchmark-
methodology skill § 1); this skill is how the runner delegates that step to
the AI inside its own pipeline, so the surrounding gates still fire.
Invocation contract
When design_one_shot_runner.step_rtl_gen WAIVES with the message:
IC class 'XXX' registered but rtl_gen=null. Recommended action: AI invokes skill
spec-to-rtl.
…the AI MUST:
-
Read the L docs the runner just emitted:
<project>/phase1/generated_docs/L1_*.json(product metadata, IC name, target clock)<project>/phase1/generated_docs/L2_*.json(functional spec)<project>/phase1/generated_docs/L3_*.json(external interface — ports)<project>/phase1/generated_docs/L7_*.json(verification plan / truth-tables)<project>/phase1/generated_docs/L9_*.json(constraints, top_module name, top_ports)- For Path-A (NL prompt) projects, ALSO read the original prompt at
<project>/input/phase1_prompt.mdor<project>/input/docs/*.md. The prompt typically has clearer port-name and behavioral details than the auto-extracted L docs.
— and CONSULT THE CAPTURED-LESSON DIGEST (MANDATORY) — The runner's WAIVE step deterministically writes
<project>/phase2/stage1/lessons.md(and setslessons_digest+lessons_countin its handoffextras): a chip-AGNOSTIC digest of every### Skill:genre/topology convention captured from prior recoveries. BEFORE you author, OPEN it, keyword-match THIS design's genre against each section's**When to apply**line, and APPLY every match. These are general patterns (frequency/clock-divider dual-edge-OR LEVEL topology, shifter logical-vs-rotate default, FIFO Gray-pointer, restoring-divider remainder width, overlapping-sequence FSM re-seed, valid/ready handshake inference, …), NOT per-problem answers — applying them is REQUIRED, not optional. A runner-driven author that skipped this re-invented a genre-determined topology from the prompt's loose wording and failed; this is the SAME digest Shape-C blind authors already MUST read.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · +35 lines 185d5b4692df
- 2d ago Changed · +28 lines abbe00c96283
- 3d ago Changed · +135 lines 303352fca41c
- 5d ago Changed · +53 tokens per session 79709c8d8543
- 7d ago First seen · 558 lines · 264 tokens per session scan A 712876385387
spec-to-rtl is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed today), licensed Apache-2.0. It adds 317 tokens to every session and 11,138 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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